Yihang Lu

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2025
Superpixel-Based Bipartite Graph Clustering Enriched With Spatial Information for Hyperspectral and LiDAR Data.
IEEE Trans. Geosci. Remote. Sens., 2025

2024
A new attention-based deep metric model for crop type mapping in complex agricultural landscapes using multisource remote sensing data.
Int. J. Appl. Earth Obs. Geoinformation, 2024

Automatic Implementation of Large-Scale CNNs on FPGA Cluster Based on HLS4ML.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

2023
Discrete and Balanced Spectral Clustering With Scalability.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Self-Weighted Euler $k$-Means Clustering.
IEEE Signal Process. Lett., 2023

Ensemble and random collaborative representation-based anomaly detector for hyperspectral imagery.
Signal Process., 2023

2022
Discrete and Parameter-Free Multiple Kernel k-Means.
IEEE Trans. Image Process., 2022

A Unified Framework for Discrete Multi-kernel k-means with Kernel Diversity Regularization.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Multiple Kernel K-Means Clustering with Simultaneous Spectral Rotation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Discrete Multi-Kernel K-Means with Diverse and Optimal Kernel Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Self-Paced and Discrete Multiple Kernel <i>k</i>-Means.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Scalable Multiple Kernel <i>k</i>-means Clustering.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Discrete Multiple Kernel k-means.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021


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